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Item Tag: Technical

Item Tag: Technical

Cwna : Certified Wireless Network Administrator Official Study Guide – CWNA-106

The “Cwna: Certified Wireless Network Administrator Official Study Guide – CWNA-106” is a textbook authored by David D. Coleman and David A. Westcott, published by Wiley & Sons, Incorporated. This book is specifically designed for individuals looking to prepare for the CWNA-106 certification exam. With a total of 834 pages, it provides comprehensive coverage of the subject area of computers, focusing on wireless network administration. It is a valuable resource for those studying to become certified wireless network administrators, offering in-depth information and insights to help individuals succeed in their certification journey

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Technical Communication Thirteenth Edition Markel / Selber 13th Ed TPB Writing

The “Technical Communication Thirteenth Edition” by Markel and Selber is a comprehensive textbook focused on business writing and professional communication. Published by Bedford/Saint Martin’s in 2021, this trade paperback features 768 pages filled with illustrations and insights. With a technical level of expertise, this thirteenth edition provides valuable guidance for improving communication skills in a business setting. The authors’ expertise in the subject area and the detailed content make this textbook a valuable resource for students and professionals alike.

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MIXED EFFECTS MODELS FOR COMPLEX DATA (CHAPMAN & HALL/CRC By Lang Wu – Hardcover

“Mixed Effects Models for Complex Data” by Lang Wu is a technical textbook published by CRC Press LLC in 2010. Focusing on the subject areas of mathematics and medical research, this hardcover book delves into the application of mixed effects models in complex data analysis, including missing data situations. With 440 pages, the text covers a range of topics within probability and statistics, as well as epidemiology. Written in English and aimed at a technical level, this book is a valuable resource for students and professionals looking to deepen their understanding of mixed effects models in real-world data analysis.

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